Evidence mapPaperPMID 36890797Full record

ReviewJournal of Taibah University Medical Sciences2023

Community-based management of acute malnutrition: Implementation quality, and staff and user satisfaction with services.

Joshua A Akuu, Moses A Amagnya

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Taibah University Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Microbial genomics · 2026
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Joshua A AkuuSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
Moses A AmagnyaInstitute of Policing, School of Justice, Security and Sustainability, Staffordshire University, Stoke-on-Trent, United Kingdom.
University of Staffordshire · GBUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malnutrition is a problem that affects many children and therefore is the focus of multiple interventions worldwide. One intervention is community-based management of acute malnutrition (CMAM). Objective: This study assessed CMAM implementation quality in the Builsa North District of Ghana, and the satisfaction among both users and CMAM staff. Design: The study used a convergent mixed-method design involving in-depth interviews with CMAM staff and users, document reviews, and observations of the CMAM implementation. The data were collected across eight health care facilities in eight sub-districts. The data were qualitatively and thematically analysed in Nvivo software. Results: Several factors were found to adversely affect the quality of CMAM implementation. Significant factors included inadequate training of CMAM workers; religious belief systems; and a lack of implementation materials, such as ready-to-use therapeutic food (RUTF), CMAM registration forms/cards, and computers. These factors adversely affected programme quality, thus resulting in dissatisfaction among CMAM users and staff. Conclusion: This study established that the CMAM programme in the Builsa North District of Ghana is hindered by a lack of primary resources and logistics necessary for successful programme implementation. Most health facilities in the district lack such resources and are not delivering the intended results.

Indexed as

CMAMCommunity-based managementHealth professionalsMalnutritionQualityRUTF

Identifiers

PMID36890797
PMCPMC9986645
OpenAlexW4321254514

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.